ReviewBioinformatics and biology insights2014
High-throughput Methods Redefine the Rumen Microbiome and Its Relationship with Nutrition and Metabolism.
Review in Bioinformatics and biology insights, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
112 citing papers in PubMed.
- Integrating rumen microbiome and host metabolome to investigate feed conversion ratio across different fattening stages in Hu sheep.Animal bioscience · 2026Article
- From Invasive Bramble to Functional Browse: A Translational Review ofPlants (Basel, Switzerland) · 2026Review
- Gut Microbiome Health in Farm Animals and Fish: Implications for Human Health and the Risk of Gastrointestinal Diseases.Microorganisms · 2026Review
- Effect of Different Diet Formulas on Production Performance and Rumen Bacterial Diversity of Fattening Beef Cattle.Molecular biotechnology · 2026Article
- Effects of Diet and Altitude on the Microbiota of the First Compartment of the Stomach in Peruvian Alpacas in Highland Puna Regions and Their Correlations with Blood Parameters.Microorganisms · 2026Article
- Review: Shifts of rumen microbiota by feeding non-fibrous carbohydrates to improve cattle performance.Frontiers in microbiology · 2026Review
- Potential effects on the signaling network mediated by overexpression of the vitronectin gene in Hu sheep ruminal epithelial cells using multi-omics analysis.Frontiers in genetics · 2026Article
- Metabolic and metataxonomic changes in lactating holstein dairy cows during the transition from heat stress to the recovery period.Journal of animal science and technology · 2026Article
- Mechanisms and Applications of Gastrointestinal Microbiota-Metabolite Interactions in Ruminants: A Review.Microorganisms · 2025Review
- Microbial communities and tight junction protein expression in the gastrointestinal tract of feedlot cattle.Scientific reports · 2025Article
- Metagenomic Analysis Revealed Significant Changes in the Beef Cattle Rectum Microbiome Under Fescue Toxicosis.Biology · 2025Article
- The crosstalk between host and rumen microbiome in cattle: insights from multi-omics approaches and genome-wide association studies.World journal of microbiology & biotechnology · 2025Review
- Dietary Fermentation withInternational journal of molecular sciences · 2025Article
- Effects of maternal rumen microbiota on the development of the microbial communities in the gastrointestinal tracts of neonatal sika deer.Journal of animal science and technology · 2025Article
- Correlation between gastrointestinal morphological changes, enteric microbiota, and changes in live weight in dairy calves.JDS communications · 2025Article
- Performance improvements and increased ruminal microbial interactions in Angus heifers via supplementation with native rumen bacteria during high-grain challenge.Scientific reports · 2025Article
- Evaluation of gastrointestinal and fecal microbial communities as markers of liver abscess risk in beef feedlot cattle.Journal of animal science · 2025Article
- The Functional and Structural Succession of Mesic-Grassland Soil Microbiomes Beneath Decomposing Large Herbivore Carcasses.Environmental microbiology · 2025Article
- Recent nutritional strategies and feed additives to stimulate proper rumen development in young goats.Translational animal science · 2025Article
- Exploring the Linkage Between Ruminal Microbial Communities on Postweaning and Finishing Diets and Their Relation to Residual Feed Intake in Beef Cattle.Microorganisms · 2024Article
52 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diversity in the forestomach microbiome is one of the key features of ruminant animals. The diverse microbial community adapts to a wide array of dietary feedstuffs and management strategies. Understanding rumen microbiome composition, adaptation, and function has global implications ranging from climatology to applied animal production. Classical knowledge of rumen microbiology was based on anaerobic, culture-dependent methods. Next-generation sequencing and other molecular techniques have uncovered novel features of the rumen microbiome. For instance, pyrosequencing of the 16S ribosomal RNA gene has revealed the taxonomic identity of bacteria and archaea to the genus level, and when complemented with barcoding adds multiple samples to a single run. Whole genome shotgun sequencing generates true metagenomic sequences to predict the functional capability of a microbiome, and can also be used to construct genomes of isolated organisms. Integration of high-throughput data describing the rumen microbiome with classic fermentation and animal performance parameters has produced meaningful advances and opened additional areas for study. In this review, we highlight recent studies of the rumen microbiome in the context of cattle production focusing on nutrition, rumen development, animal efficiency, and microbial function.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.